This was my experience a year ago on some other model they could run super fast. Routine coding tasks would hit the per-minute token limits.

Just the math there... 150k TPM... and 15k TPS means... you can run for 10 seconds every minute?

The basic math boggles the mind.

> means... you can run for 10 seconds every minute?

It’s one order of magnitude less TPS, but still, that’s the limit with just one user…

Not sure how the rate limiting works, but it's 1.5k TPS, not 15k, so you could run it for 100s/min, which seems good enough to me

iirc input (uncached) goes towards the limit as well

What's the tok/s when they process input?

It seems you forgot to account for the fact that cerebras uses a baker's minute which is 144 seconds instead of 60. (Seriously though what's the supposed issue here?)

The issue is that all input (including context) counts towards that limit. So 10 requests with 50k of context will blow through the limit, even if little to no output was generated, which is incredibly easy to do with agentic workloads.

ah, yes, that seems right

I was using it quite a while back, different model, different quotas, but for coding tasks it routinely hit quotas which made it quite difficult to actually use.

100s/min seems pretty poor actually with sub-agents etc.